[rgb]0,0,0Our method focuses on online fine-grained anomaly detection. Previous works follow Sultani et al. [1]} to perform anomaly detection in a coarse-grained manner. However, in the real world, we expect anomaly detection can be applied for streaming surveillance videos to detect anomalies precisely and quickly, while the methods in coarse-grained do not meet the requirement. Some work like Ullah et al. [2]} performs anomaly detection in an offline manner based on an external assumption as complete observation of the testing videos. As discussed above, it also
violates the expectation for detection on streaming video.
